--- title: "Lequn Chen — author profile and papers — Elamur Research" description: "Lequn Chen, Advanced Remanufacturing & Technology Centre: 3 papers on Elamur Research (2023–2025), h-index 18 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/lequn-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lequn-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lequn Chen # Lequn Chen Lequn Chen has 3 papers in our library, in 2023–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Arvind Krishnamurthy](https://md.research.elamur.ai/free/en/authors/arvind-krishnamurthy/), [Zihao Ye](https://md.research.elamur.ai/free/en/authors/zihao-ye/), [Baris Kasikci](https://md.research.elamur.ai/free/en/authors/baris-kasikci/). 3 papers in our library · 2023–2025 [OpenAlex](https://openalex.org/A5021778628) · [ORCID](https://orcid.org/0000-0003-0113-8397) · [**h-index 18**](https://openalex.org/authors/A5021778628) · [48 works](https://openalex.org/works?filter=author.id:A5021778628) · [1,706 citations](https://openalex.org/works?filter=author.id:A5021778628&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/lequn-chen/#papers) · [🔗 Cited 382 times in our library](https://md.research.elamur.ai/free/en/authors/lequn-chen/cited-by/) · [⭐ Paper Stars ranking: #4750](https://md.research.elamur.ai/free/en/paper-stars/page/48/#star-4750) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Lequn+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lequn+Chen) · [dblp](https://dblp.org/search?q=Lequn+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Lequn+Chen) ## Affiliations [🤝**Advanced Remanufacturing & Technology Centre** Singapore · Singapore 2022–2026 · 15 papers*current*](https://ror.org/04hmssf27) · [🎓**Nanyang Technological University** Singapore · Singapore 2017–2025 · 22 papersEducation 2017–2021 · Bachelor of Engineering, School of Mechanical and Aerospace EngineeringEducation 2021–2024 · PhD, School of Mechanical and Aerospace Engineering](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🏛️**Agency for Science, Technology and Research** Singapore · Singapore 2020–2025 · 18 papersEmployment 2023–2025 · Scientist, Advanced Remanufacturing and Technology Centre (ARTC)](https://md.research.elamur.ai/free/en/government/agency-for-science-technology-and-research/) · [🔬**Singapore Institute of Manufacturing Technology** Singapore · Singapore 2020–2025 · 11 papers](https://ror.org/00f44np30) · [🎓**University of Washington** Seattle · United States 2019–2023 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-washington/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Hardware and Architecture · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/lequn-chen/year/2025/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/lequn-chen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving](https://md.research.elamur.ai/free/en/papers/ye-2025-flashinfer-efficient-customizable-attention-engine/)** *(2025 · 177 citations)* FlashInfer is an attention engine for LLM inference serving. It targets two problems: serving workloads keep changing, and attention variants and GPU architectures differ widely. Today each serving system ships its own narrow attention kernels, which is costly to maintain. FlashInfer replaces them with one… 2. **[Atom: Low-bit Quantization for Efficient and Accurate LLM Serving](https://md.research.elamur.ai/free/en/papers/zhao-2023-atom-low-bit-quantization-efficient/)** *(2023 · 156 citations)* LLM serving relies on batching to keep GPUs busy, and quantization can further reduce memory use and compute cost. 3. **[Punica: Multi-Tenant LoRA Serving](https://md.research.elamur.ai/free/en/papers/chen-2023-punica-multi-tenant-lora-serving/)** *(2023 · 81 citations)* Organisations that fine-tune one base LLM with LoRA for many tenants usually end up running each adapter as a separate model. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Arvind Krishnamurthy](https://md.research.elamur.ai/free/en/authors/arvind-krishnamurthy/) ×3 - [Zihao Ye](https://md.research.elamur.ai/free/en/authors/zihao-ye/) ×3 - [Baris Kasikci](https://md.research.elamur.ai/free/en/authors/baris-kasikci/) ×2 - [Luis Ceze](https://md.research.elamur.ai/free/en/authors/luis-ceze/) ×2 - [Tianqi Chen](https://md.research.elamur.ai/free/en/authors/tianqi-chen/) ×2 - [Danyang Zhuo](https://md.research.elamur.ai/free/en/authors/danyang-zhuo/) - [Kan Zhu](https://md.research.elamur.ai/free/en/authors/kan-zhu/) - [Yilong Zhao](https://md.research.elamur.ai/free/en/authors/yilong-zhao/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - MLSys 2024 ×3 ## Cited by Papers of our library cite their works 382 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lequn-chen/cited-by/). Updated 2 November 2026